Changeset 3150 in Sophya
- Timestamp:
- Jan 18, 2007, 7:23:56 PM (19 years ago)
- Location:
- trunk/Cosmo/SimLSS
- Files:
-
- 4 edited
Legend:
- Unmodified
- Added
- Removed
-
trunk/Cosmo/SimLSS/cmvconcherr.cc
r3141 r3150 9 9 #include "timing.h" 10 10 #include "histerr.h" 11 11 #include "hist2err.h" 12 #include "fitshisterr.h" 13 14 int ObjectType(string nameh,string nameppf); 15 int ConcatHistoErr(string nameh,vector<string> ppfname,int wrtyp); 16 int ConcatHisto2DErr(string nameh,vector<string> ppfname,int wrtyp); 12 17 void usage(void); 13 18 void usage(void) 14 19 { 15 cout<<"cmvconchprof -n name_histoerr file1.ppf file2.ppf ..."<<endl; 16 } 17 20 cout 21 <<"cmvconcherr -w wtyp -n name_histoerr file1.ppf file2.ppf ..."<<endl 22 <<" name_histoerr: object name"<<endl 23 <<" wtyp: bit0 write ASCII, bit1 write PPF, bit2 write FITS (all=7)"<<endl; 24 } 25 26 27 //--------------------------------------------------------------- 18 28 int main(int narg,char *arg[]) 19 29 { 20 string nameh = ""; // "hpkgen" "hpkgenf" "hpkrec" 30 // "hpkgen" "hpkgenf" "hpkrec" "hpkgen2" "hpkgenf2" "hpkrec2" 31 string nameh = ""; 21 32 vector<string> ppfname; 33 int Write_Type = 3; 22 34 23 35 // --- Decodage arguments 24 36 char c; 25 while((c = getopt(narg,arg,"hn: ")) != -1) {37 while((c = getopt(narg,arg,"hn:w:")) != -1) { 26 38 switch (c) { 27 39 case 'n' : 28 40 nameh = optarg; 41 break; 42 case 'w' : 43 sscanf(optarg,"%d",&Write_Type); 29 44 break; 30 45 case 'h' : … … 35 50 if(nameh.size()<=0 || optind>=narg) {usage(); return -1;} 36 51 for (int i=optind;i<narg;i++) ppfname.push_back(arg[i]); 37 cout<<"nameh = "<<nameh<<" , number of file to be read = "<<ppfname.size()<<endl; 38 39 // --- lecture et moyenne des HistoErr 52 cout<<"nameh = "<<nameh 53 <<" , number of file to be read = "<<ppfname.size() 54 <<" , write_type="<<Write_Type<<endl; 55 56 // --- Quel type d'objet ? 57 int obtyp = ObjectType(nameh,ppfname[0]); 58 59 // --- lecture et moyenne des HistoErr ou Histo2DErr 60 int nread=0; 61 if(obtyp==1) nread = ConcatHistoErr(nameh,ppfname,Write_Type); 62 else if(obtyp==2) nread = ConcatHisto2DErr(nameh,ppfname,Write_Type); 63 else { 64 cout<<"Type of object "<<nameh<<" not decoded"<<endl; 65 return -1; 66 } 67 cout<<"Number of file read: "<<nread<<endl; 68 return 0; 69 } 70 71 //--------------------------------------------------------------- 72 int ObjectType(string nameh,string nameppf) 73 // retourne: 1 si HistoErr 74 // 2 si Histo2DErr, 75 // 0 si autre objet 76 // -1 si il n'y a pas d'objet de nom "nameh" 77 { 78 PInPersist pis(nameppf.c_str()); 79 80 bool found_tag = pis.GotoNameTag(nameh.c_str()); 81 if(!found_tag) return -1; 82 83 PPersist *pps = pis.ReadObject(); 84 AnyDataObj *obj = pps->DataObj(); 85 cout<<"Object type read from input PPF file : "<<typeid(*obj).name()<< endl; 86 87 HistoErr *herr = dynamic_cast<HistoErr *>(obj); 88 if(herr) return 1; 89 90 Histo2DErr *herr2 = dynamic_cast<Histo2DErr *>(obj); 91 if(herr2) return 2; 92 93 return 0; 94 } 95 96 //--------------------------------------------------------------- 97 int ConcatHistoErr(string nameh,vector<string> ppfname,int wrtyp) 98 { 99 if(ppfname.size()<=0) return 0; 100 40 101 HistoErr *herrconc = NULL; 41 int nherr = 0; 42 int itest = 0; 102 int nherr=0, nread=0, itest=0; 43 103 double sum=0., sum2=0., nsum=0; 44 104 for (int ifile=0;ifile<ppfname.size();ifile++) { … … 46 106 HistoErr herr; 47 107 pis.GetObject(herr,nameh); 48 int n = herr.NBins(); 49 cout<<ifile<<" : "<<ppfname[ifile]<<" nbin="<<n<<endl; 108 cout<<ifile<<" : "<<ppfname[ifile]<<" nbin="<<herr.NBins()<<endl; 50 109 if(ifile==0) { 51 110 herrconc = new HistoErr(herr.XMin(),herr.XMax(),herr.NBins()); 52 nherr = n;111 nherr = herr.NBins(); 53 112 itest = int(herrconc->NBins()/5.+0.5); 113 } else if(nherr!=herr.NBins()) { 114 cout<<"BAD NUMBER OF BINS"<<endl; 115 continue; 54 116 } 55 if(n!=nherr) {cout<<"BAD NUMBER OF BINS"<<endl; continue;} 117 if(herr.NMean()!=1) cout<<"ATTENTION: file="<<ppfname[ifile] 118 <<" nmean="<<herr.NMean()<<endl; 119 nread++; 56 120 for(int i=0;i<nherr;i++) herrconc->AddBin(i,herr(i)); 57 121 sum+=herr(itest); sum2+=herr(itest)*herr(itest), nsum++; 58 122 } 59 herrconc->To Correl();123 herrconc->ToVariance(); 60 124 if(nsum>0) {sum/=nsum; sum2/=nsum; sum2-=sum*sum;} 61 125 cout<<"Test bin "<<itest<<" mean="<<sum<<" sigma^2="<<sum2<<" nsum="<<nsum<<endl; 62 cout<<" "<<" mean="<<(*herrconc)(itest)<<" sigma^2="<<herrconc->Error2(itest)<<endl; 63 64 // --- ecriture ascii 65 if(1) { 66 FILE * fdata = fopen("cmvconchprof.data","w"); 67 fprintf(fdata,"# k(Mpc^-1) <pkz_reconstruit> variance_pkz\n"); 126 cout<<" "<<" mean="<<(*herrconc)(itest) 127 <<" sigma^2="<<herrconc->Error2(itest)<<endl; 128 129 // --- ecriture 130 if(wrtyp&1) { // ecriture ASCII 131 FILE * fdata = fopen("cmvconcherr.data","w"); 132 fprintf(fdata,"# x <mean> variance\n"); 133 fprintf(fdata,"%.17e %.17e %d %d\n",herrconc->XMin(),herrconc->XMax() 134 ,herrconc->NBins(),herrconc->NMean()); 68 135 for(int i=0;i<herrconc->NBins();i++) { 69 double k= herrconc->BinCenter(i);70 fprintf(fdata,"%e %e %e\n", k,(*herrconc)(i),herrconc->Error2(i));136 double x = herrconc->BinCenter(i); 137 fprintf(fdata,"%e %e %e\n",x,(*herrconc)(i),herrconc->Error2(i)); 71 138 } 72 139 fclose(fdata); 73 140 } 74 75 // --- ecriture ppf 76 string tagobs = "cmvconchprof.ppf"; 77 POutPersist posobs(tagobs); 78 tagobs = "herrconc"; posobs.PutObject(*herrconc,tagobs); 141 if(wrtyp&2) { // ecriture PPF 142 string tagobs = "cmvconcherr.ppf"; 143 POutPersist posobs(tagobs); 144 tagobs = "herrconc"; posobs.PutObject(*herrconc,tagobs); 145 } 146 if(wrtyp&4) { // ecriture FITS 147 FitsInOutFile fio("!cmvconcherr.fits",FitsInOutFile::Fits_Create); 148 fio << *herrconc; 149 } 79 150 80 151 delete herrconc; 81 152 82 return 0; 153 return nread; 154 } 155 156 //--------------------------------------------------------------- 157 int ConcatHisto2DErr(string nameh,vector<string> ppfname,int wrtyp) 158 { 159 if(ppfname.size()<=0) return 0; 160 161 Histo2DErr *herrconc = NULL; 162 int nherrx=0, nherry=0, nread=0, itestx=0, itesty=0; 163 double sum=0., sum2=0., nsum=0; 164 for (int ifile=0;ifile<ppfname.size();ifile++) { 165 PInPersist pis(ppfname[ifile].c_str()); 166 Histo2DErr herr; 167 pis.GetObject(herr,nameh); 168 cout<<ifile<<" : "<<ppfname[ifile]<<" nbin=" 169 <<herr.NBinX()<<","<<herr.NBinY()<<endl; 170 if(ifile==0) { 171 herrconc = new Histo2DErr(herr.XMin(),herr.XMax(),herr.NBinX() 172 ,herr.YMin(),herr.YMax(),herr.NBinY()); 173 nherrx = herr.NBinX(); nherry = herr.NBinY(); 174 itestx = int(herrconc->NBinX()/5.+0.5); 175 itesty = int(herrconc->NBinY()/5.+0.5); 176 } else if(nherrx!=herr.NBinX() || nherry!=herr.NBinY()) { 177 cout<<"BAD NUMBER OF BINS"<<endl; 178 continue; 179 } 180 if(herr.NMean()!=1) cout<<"ATTENTION: file="<<ppfname[ifile] 181 <<" nmean="<<herr.NMean()<<endl; 182 nread++; 183 for(int i=0;i<nherrx;i++) 184 for(int j=0;j<nherrx;j++) herrconc->AddBin(i,j,herr(i,j)); 185 sum+=herr(itestx,itesty); sum2+=herr(itestx,itesty)*herr(itestx,itesty), nsum++; 186 } 187 herrconc->ToVariance(); 188 cout<<"Test bin "<<itestx<<","<<itesty 189 <<" mean="<<sum<<" sigma^2="<<sum2<<" nsum="<<nsum<<endl; 190 cout<<" "<<" mean="<<(*herrconc)(itestx,itesty) 191 <<" sigma^2="<<herrconc->Error2(itestx,itesty)<<endl; 192 193 // --- ecriture 194 if(wrtyp&1) { // ecriture ASCII 195 cout<<"ERROR: No ASCII writing implemented"<<endl; 196 } 197 if(wrtyp&2) { // ecriture PPF 198 string tagobs = "cmvconcherr2.ppf"; 199 POutPersist posobs(tagobs); 200 tagobs = "herrconc2"; posobs.PutObject(*herrconc,tagobs); 201 } 202 if(wrtyp&4) { // ecriture FITS 203 FitsInOutFile fio("!cmvconcherr2.fits",FitsInOutFile::Fits_Create); 204 fio << *herrconc; 205 } 206 207 delete herrconc; 208 209 return nread; 83 210 } 84 211 85 212 /* 86 openppf cmvconchprof.ppf 87 88 disp herrconc 213 #### HistoErr 1D 214 openppf cmvconcherr.ppf 215 216 disp herrconc "hbincont err" 217 disp herrconc "hbinerr" 218 disp herrconc "hbinent" 89 219 90 220 n/plot herrconc.val%log10(x) x>0 ! "connectpoints" 91 n/plot herrconc.err%log10(x) x>0 ! "connectpoints same red" 92 93 n/plot herrconc.err/val%log10(x) x>0&&val>0 ! "connectpoints" 221 n/plot herrconc.sqrt(err2)%log10(x) x>0&&err2>0. ! "connectpoints same red" 222 223 n/plot herrconc.sqrt(err2)/val%log10(x) x>0&&err2>0.&&val>0 ! "connectpoints" 224 225 #### Histo2DErr 2D 226 openppf cmvconcherr2.ppf 227 228 disp herrconc2 "hbincont" 229 disp herrconc2 "hbinerr" 230 disp herrconc2 "hbinent" 94 231 */ -
trunk/Cosmo/SimLSS/cmvobserv3d.cc
r3141 r3150 204 204 TArray< complex<r_8> > pkgen; 205 205 GeneFluct3D fluct3d(pkgen); 206 fluct3d.SetPrtLevel(3); 206 207 fluct3d.SetNThread(nthread); 207 208 fluct3d.SetSize(nx,ny,nz,dx,dy,dz); … … 431 432 432 433 zone 434 set k pow(10.,x) 435 n/plot hpkz.val*$k*$k/(2*M_PI*M_PI)%x ! "connectpoints" 436 437 zone 433 438 n/plot hpkz.val%x ! ! "nsta connectpoints" 434 439 n/plot hpkgen.val%log10(x) x>0 ! "nsta same red connectpoints" … … 436 441 n/plot hpkrec.val%log10(x) x>0 ! "nsta same blue connectpoints" 437 442 438 set k pow(10.,x) 439 n/plot hpkz.val*$k*$k/(2*M_PI*M_PI)%x ! "connectpoints" 443 disp hpkgen "hbincont err" 444 disp hpkgenf "hbincont err" 445 disp hpkrec "hbincont err" 440 446 441 447 zone 2 2 … … 444 450 imag hpkrec2 445 451 446 zone 447 disp hmdndm 448 disp tirhmdndm 452 zone 2 1 453 disp hmdndm "nsta" 454 disp tirhmdndm "nsta" 449 455 addline 0 1 20 1 "red" 450 456 -
trunk/Cosmo/SimLSS/genefluct3d.cc
r3141 r3150 32 32 //------------------------------------------------------- 33 33 GeneFluct3D::GeneFluct3D(TArray< complex<r_8 > >& T) 34 : T_(T) , array_allocated_(false) 34 : T_(T) , array_allocated_(false) , lp_(0) 35 35 { 36 36 SetNThread(); … … 257 257 // (attention on fait une fft pour realiser le spectre) 258 258 { 259 int lp=2;260 261 259 // --- Initialisation de fftw3 (attention data est sur-ecrit a l'init) 262 if(lp >1) PrtTim("--- ComputeFourier0: before fftw_plan ---");260 if(lp_>1) PrtTim("--- ComputeFourier0: before fftw_plan ---"); 263 261 #ifdef FFTW_THREAD 264 262 if(nthread_>0) { … … 270 268 pf_ = fftw_plan_dft_r2c_3d(Nx_,Ny_,Nz_,data_,fdata_,FFTW_ESTIMATE); 271 269 pb_ = fftw_plan_dft_c2r_3d(Nx_,Ny_,Nz_,fdata_,data_,FFTW_ESTIMATE); 272 if(lp >1) PrtTim("--- ComputeFourier0: after fftw_plan ---");270 if(lp_>1) PrtTim("--- ComputeFourier0: after fftw_plan ---"); 273 271 274 272 // --- realisation d'un tableau de tirage gaussiens 275 if(lp >1) PrtTim("--- ComputeFourier0: before gaussian filling ---");273 if(lp_>1) PrtTim("--- ComputeFourier0: before gaussian filling ---"); 276 274 // On tient compte du pb de normalisation de FFTW3 277 275 double sntot = sqrt((double)NRtot_); … … 280 278 data_[ip] = NorRand()/sntot; 281 279 } 282 if(lp >1) PrtTim("--- ComputeFourier0: after gaussian filling ---");280 if(lp_>1) PrtTim("--- ComputeFourier0: after gaussian filling ---"); 283 281 284 282 // --- realisation d'un tableau de tirage gaussiens 285 if(lp >1) PrtTim("--- ComputeFourier0: before fft real ---");283 if(lp_>1) PrtTim("--- ComputeFourier0: before fft real ---"); 286 284 fftw_execute(pf_); 287 if(lp >1) PrtTim("--- ComputeFourier0: after fft real ---");285 if(lp_>1) PrtTim("--- ComputeFourier0: after fft real ---"); 288 286 289 287 // --- On remplit avec une realisation 290 if(lp >1) PrtTim("--- ComputeFourier0: before Fourier realization filling ---");288 if(lp_>1) PrtTim("--- ComputeFourier0: before Fourier realization filling ---"); 291 289 T_(0,0,0) = complex<r_8>(0.); // on coupe le continue et on l'initialise 292 290 long lmod = Nx_/10; if(lmod<1) lmod=1; … … 294 292 long ii = (i>Nx_/2) ? Nx_-i : i; 295 293 double kx = ii*Dkx_; kx *= kx; 296 if(lp >1 && i%lmod==0) cout<<"i="<<i<<" ii="<<ii<<endl;294 if(lp_>1 && i%lmod==0) cout<<"i="<<i<<" ii="<<ii<<endl; 297 295 for(long j=0;j<Ny_;j++) { 298 296 long jj = (j>Ny_/2) ? Ny_-j : j; … … 309 307 } 310 308 } 311 if(lp >1) PrtTim("--- ComputeFourier0: after Fourier realization filling ---");309 if(lp_>1) PrtTim("--- ComputeFourier0: after Fourier realization filling ---"); 312 310 313 311 double p = compute_power_carte(); 314 312 cout<<"Puissance dans la realisation: "<<p<<endl; 315 if(lp >1) PrtTim("--- ComputeFourier0: after Computing power ---");313 if(lp_>1) PrtTim("--- ComputeFourier0: after Computing power ---"); 316 314 317 315 } … … 328 326 // sum(fb(x_i)^2) = S*N^2 329 327 { 330 int lp=2;331 332 328 // --- Initialisation de fftw3 (attention data est sur-ecrit a l'init) 333 if(lp >1) PrtTim("--- ComputeFourier: before fftw_plan ---");329 if(lp_>1) PrtTim("--- ComputeFourier: before fftw_plan ---"); 334 330 #ifdef FFTW_THREAD 335 331 if(nthread_>0) { … … 342 338 pb_ = fftw_plan_dft_c2r_3d(Nx_,Ny_,Nz_,fdata_,data_,FFTW_ESTIMATE); 343 339 //fftw_print_plan(pb_); cout<<endl; 344 if(lp >1) PrtTim("--- ComputeFourier: after fftw_plan ---");340 if(lp_>1) PrtTim("--- ComputeFourier: after fftw_plan ---"); 345 341 346 342 // --- RaZ du tableau … … 348 344 349 345 // --- On remplit avec une realisation 350 if(lp >1) PrtTim("--- ComputeFourier: before Fourier realization filling ---");346 if(lp_>1) PrtTim("--- ComputeFourier: before Fourier realization filling ---"); 351 347 long lmod = Nx_/10; if(lmod<1) lmod=1; 352 348 for(long i=0;i<Nx_;i++) { 353 349 long ii = (i>Nx_/2) ? Nx_-i : i; 354 350 double kx = ii*Dkx_; kx *= kx; 355 if(lp >1 && i%lmod==0) cout<<"i="<<i<<" ii="<<ii<<endl;351 if(lp_>1 && i%lmod==0) cout<<"i="<<i<<" ii="<<ii<<endl; 356 352 for(long j=0;j<Ny_;j++) { 357 353 long jj = (j>Ny_/2) ? Ny_-j : j; … … 369 365 } 370 366 } 371 if(lp >1) PrtTim("--- ComputeFourier: after Fourier realization filling ---");367 if(lp_>1) PrtTim("--- ComputeFourier: after Fourier realization filling ---"); 372 368 373 369 manage_coefficients(); // gros effet pour les spectres que l'on utilise ! 374 if(lp >1) PrtTim("--- ComputeFourier: after managing coefficients ---");370 if(lp_>1) PrtTim("--- ComputeFourier: after managing coefficients ---"); 375 371 376 372 double p = compute_power_carte(); 377 373 cout<<"Puissance dans la realisation: "<<p<<endl; 378 if(lp >1) PrtTim("--- ComputeFourier: after before Computing power ---");374 if(lp_>1) PrtTim("--- ComputeFourier: after before Computing power ---"); 379 375 380 376 } … … 490 486 // avec y = k_x*dx/2 491 487 { 492 int lp=2; 493 check_array_alloc(); 494 495 if(lp>1) PrtTim("--- FilterByPixel: before ---"); 488 check_array_alloc(); 489 490 if(lp_>1) PrtTim("--- FilterByPixel: before ---"); 496 491 497 492 for(long i=0;i<Nx_;i++) { … … 511 506 } 512 507 513 if(lp >1) PrtTim("--- FilterByPixel: after ---");508 if(lp_>1) PrtTim("--- FilterByPixel: after ---"); 514 509 } 515 510 … … 518 513 // Calcule une realisation dans l'espace reel 519 514 { 520 int lp=2;521 515 check_array_alloc(); 522 516 523 517 // On fait la FFT 524 if(lp >1) PrtTim("--- ComputeReal: before fftw backward ---");518 if(lp_>1) PrtTim("--- ComputeReal: before fftw backward ---"); 525 519 fftw_execute(pb_); 526 if(lp >1) PrtTim("--- ComputeReal: after fftw backward ---");520 if(lp_>1) PrtTim("--- ComputeReal: after fftw backward ---"); 527 521 } 528 522 … … 530 524 void GeneFluct3D::ReComputeFourier(void) 531 525 { 532 int lp=2;533 526 check_array_alloc(); 534 527 535 528 // On fait la FFT 536 if(lp >1) PrtTim("--- ComputeReal: before fftw forward ---");529 if(lp_>1) PrtTim("--- ComputeReal: before fftw forward ---"); 537 530 fftw_execute(pf_); 538 531 // On corrige du pb de la normalisation de FFTW3 … … 542 535 for(long l=0;l<NCz_;l++) T_(l,j,i) /= complex<r_8>(v); 543 536 544 if(lp >1) PrtTim("--- ComputeReal: after fftw forward ---");537 if(lp_>1) PrtTim("--- ComputeReal: after fftw forward ---"); 545 538 } 546 539 … … 552 545 { 553 546 check_array_alloc(); 547 if(lp_>1) PrtTim("--- ComputeSpectrum: before ---"); 554 548 555 549 if(herr.NBins()<0) return -1; … … 571 565 } 572 566 } 573 herr.To Correl();567 herr.ToVariance(); 574 568 575 569 // renormalize to directly compare to original spectrum … … 577 571 herr *= norm; 578 572 573 if(lp_>1) PrtTim("--- ComputeSpectrum: after ---"); 574 579 575 return 0; 580 576 } … … 583 579 { 584 580 check_array_alloc(); 581 if(lp_>1) PrtTim("--- ComputeSpectrum2D: before ---"); 585 582 586 583 if(herr.NBinX()<0 || herr.NBinY()<0) return -1; … … 602 599 } 603 600 } 604 herr.To Correl();601 herr.ToVariance(); 605 602 606 603 // renormalize to directly compare to original spectrum … … 608 605 herr *= norm; 609 606 607 if(lp_>1) PrtTim("--- ComputeSpectrum2D: after ---"); 608 610 609 return 0; 611 610 } … … 615 614 // Recompute MASS variance in spherical top-hat (rayon=R) 616 615 { 617 int lp=2; 618 check_array_alloc(); 619 620 if(lp>1) PrtTim("--- VarianceFrReal: before computation ---"); 616 check_array_alloc(); 617 618 if(lp_>1) PrtTim("--- VarianceFrReal: before computation ---"); 621 619 622 620 long dnx = long(R/Dx_+0.5); if(dnx<=0) dnx = 1; … … 654 652 sum /= nsum; 655 653 sum2 = sum2/nsum - sum*sum; 656 if(lp ) cout<<"VarianceFrReal: nsum="<<nsum<<" <M>="<<sum<<" <(M-<M>)^2>="<<sum2<<endl;654 if(lp_) cout<<"VarianceFrReal: nsum="<<nsum<<" <M>="<<sum<<" <(M-<M>)^2>="<<sum2<<endl; 657 655 658 656 var = sum2/(sum*sum); // <dM>^2/<M>^2 659 if(lp ) cout<<"sigmaR^2="<<var<<" -> "<<sqrt(var)<<endl;660 661 if(lp >1) PrtTim("--- VarianceFrReal: after computation ---");657 if(lp_) cout<<"sigmaR^2="<<var<<" -> "<<sqrt(var)<<endl; 658 659 if(lp_>1) PrtTim("--- VarianceFrReal: after computation ---"); 662 660 return nsum; 663 661 } … … 726 724 // d_rho/rho -> Mass (add one!) 727 725 { 728 int lp=2; 729 check_array_alloc(); 730 731 if(lp>1) PrtTim("--- TurnFluct2Mass: before computation ---"); 726 check_array_alloc(); 727 728 if(lp_>1) PrtTim("--- TurnFluct2Mass: before computation ---"); 732 729 733 730 for(long i=0;i<Nx_;i++) for(long j=0;j<Ny_;j++) for(long l=0;l<Nz_;l++) { … … 736 733 } 737 734 738 if(lp >1) PrtTim("--- TurnFluct2Mass: after computation ---");735 if(lp_>1) PrtTim("--- TurnFluct2Mass: after computation ---"); 739 736 } 740 737 … … 742 739 // do NOT treate negative or nul values 743 740 { 744 int lp=2; 745 if(lp>1) PrtTim("--- TurnMass2MeanNumber: before computation ---"); 741 if(lp_>1) PrtTim("--- TurnMass2MeanNumber: before computation ---"); 746 742 747 743 double m,s2; 748 744 int_8 ngood = MeanSigma2(m,s2,0.,1e+200); 749 if(lp ) cout<<"TurnMass2MeanNumber: ngood="<<ngood745 if(lp_) cout<<"TurnMass2MeanNumber: ngood="<<ngood 750 746 <<" m="<<m<<" s2="<<s2<<" -> "<<sqrt(s2)<<endl; 751 747 … … 758 754 // (rappel sur tout les pixels <1+d_rho/rho>=1) 759 755 double dn = n_by_mpc3*Vol_/m /(double)ngood; // nb de gal a mettre ds 1 px 760 if(lp ) cout<<"galaxy density move from "756 if(lp_) cout<<"galaxy density move from " 761 757 <<n_by_mpc3*Vol_/double(NRtot_)<<" to "<<dn<<" / pixel"<<endl; 762 758 double sum = 0.; … … 766 762 if(data_[ip]>0.) sum += data_[ip]; // mais on ne les compte pas 767 763 } 768 if(lp ) cout<<sum<<" galaxies put into survey / "<<n_by_mpc3*Vol_<<endl;769 770 if(lp >1) PrtTim("--- TurnMass2MeanNumber: after computation ---");764 if(lp_) cout<<sum<<" galaxies put into survey / "<<n_by_mpc3*Vol_<<endl; 765 766 if(lp_>1) PrtTim("--- TurnMass2MeanNumber: after computation ---"); 771 767 return sum; 772 768 } … … 775 771 // do NOT treate negative or nul mass -> let it as it is 776 772 { 777 int lp=2; 778 check_array_alloc(); 779 780 if(lp>1) PrtTim("--- ApplyPoisson: before computation ---"); 773 check_array_alloc(); 774 775 if(lp_>1) PrtTim("--- ApplyPoisson: before computation ---"); 781 776 782 777 double sum = 0.; … … 790 785 } 791 786 } 792 if(lp ) cout<<sum<<" galaxies put into survey"<<endl;793 794 if(lp >1) PrtTim("--- ApplyPoisson: before computation ---");787 if(lp_) cout<<sum<<" galaxies put into survey"<<endl; 788 789 if(lp_>1) PrtTim("--- ApplyPoisson: before computation ---"); 795 790 return sum; 796 791 } … … 804 799 // RETURN la masse totale 805 800 { 806 int lp=2; 807 check_array_alloc(); 808 809 if(lp>1) PrtTim("--- TurnNGal2Mass: before computation ---"); 801 check_array_alloc(); 802 803 if(lp_>1) PrtTim("--- TurnNGal2Mass: before computation ---"); 810 804 811 805 double sum = 0.; … … 824 818 } 825 819 } 826 if(lp ) cout<<sum<<" MSol HI mass put into survey"<<endl;827 828 if(lp >1) PrtTim("--- TurnNGal2Mass: after computation ---");820 if(lp_) cout<<sum<<" MSol HI mass put into survey"<<endl; 821 822 if(lp_>1) PrtTim("--- TurnNGal2Mass: after computation ---"); 829 823 return sum; 830 824 } … … 833 827 // add noise to every pixels (meme les <=0 !) 834 828 { 835 int lp=2; 836 check_array_alloc(); 837 838 if(lp>1) PrtTim("--- AddNoise2Real: before computation ---"); 829 check_array_alloc(); 830 831 if(lp_>1) PrtTim("--- AddNoise2Real: before computation ---"); 839 832 840 833 for(long i=0;i<Nx_;i++) for(long j=0;j<Ny_;j++) for(long l=0;l<Nz_;l++) { … … 843 836 } 844 837 845 if(lp >1) PrtTim("--- AddNoise2Real: after computation ---");846 } 838 if(lp_>1) PrtTim("--- AddNoise2Real: after computation ---"); 839 } -
trunk/Cosmo/SimLSS/genefluct3d.h
r3141 r3150 85 85 void ReadPPF(string cfname); 86 86 87 void SetPrtLevel(int lp=0) {lp_ = lp;} 87 88 void Print(void); 88 89 … … 96 97 inline double pixelfilter(double x) 97 98 {return (x<0.025) ? 1.-x*x/6.*(1.-x*x/20.): sin(x)/x;} 98 99 99 100 100 long Nx_,Ny_,Nz_; vector<long> N_; … … 111 111 fftw_plan pf_,pb_; 112 112 unsigned short nthread_; 113 int lp_; 113 114 114 115 bool array_allocated_; // true if array has been allocated
Note:
See TracChangeset
for help on using the changeset viewer.